Triple
T22248955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Scott Lord Dimmick Harrison |
E549921
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harrison |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Harrison | Statement: [Mary Scott Lord Dimmick Harrison, familyName, Harrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrison Context triple: [Mary Scott Lord Dimmick Harrison, familyName, Harrison]
-
A.
Harrison
chosen
Harrison is a common English surname borne by numerous notable figures across politics, the arts, and sciences.
-
B.
Harrison
Harrison is a city in New Jersey’s Hudson County, known as a residential and industrial community within the New York metropolitan area.
-
C.
Harrison
Harrison is a small lakeside city in northern Idaho known for its scenic location on Lake Coeur d'Alene and outdoor recreation opportunities.
-
D.
Hinkley
Hinkley is a small unincorporated community in California’s Mojave Desert, best known for the groundwater contamination case made famous by the film "Erin Brockovich."
-
E.
Knox
Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bc69d48190b185d4b8f4089922 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:38 p.m.